Paper Abstract and Keywords |
Presentation |
2017-03-13 11:15
Stability and Sparsity of Dynamic Binary Neural Networks Shunsuke Aoki, Ryuji Sato, Toshimichi Saito (HU) NC2016-81 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
This paper studies relation between sparsification and stability of a desired binary periodic orbit in the dynamic binary neural networks.
Depending on parameters and initial conditions,
the network can generate various binary periodic orbits.
In order to show the connection sparsity and orbit stability, we introduce two simple feature quantities.
Performing basic numerical experiments, we consider two basic problems.
First, as the connection sparsity increases, the orbit stability varies.
In order to store a desired periodic orbit, we have applied a correlation based learning method.
Second, as the connection sparsity approaches to the most sparse case,
the dynamic binary neural network approaches to an equivalent system to the shift register where all the periodic orbits are not stable. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Binary neural networks / Sparsification / Feature quantities / / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 116, no. 521, NC2016-81, pp. 103-107, March 2017. |
Paper # |
NC2016-81 |
Date of Issue |
2017-03-06 (NC) |
ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
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NC2016-81 |
Conference Information |
Committee |
MBE NC |
Conference Date |
2017-03-13 - 2017-03-14 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Kikai-Shinko-Kaikan Bldg. |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
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Paper Information |
Registration To |
NC |
Conference Code |
2017-03-MBE-NC |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Stability and Sparsity of Dynamic Binary Neural Networks |
Sub Title (in English) |
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Keyword(1) |
Binary neural networks |
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Sparsification |
Keyword(3) |
Feature quantities |
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1st Author's Name |
Shunsuke Aoki |
1st Author's Affiliation |
Hosei University (HU) |
2nd Author's Name |
Ryuji Sato |
2nd Author's Affiliation |
Hosei University (HU) |
3rd Author's Name |
Toshimichi Saito |
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Hosei University (HU) |
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Speaker |
Author-1 |
Date Time |
2017-03-13 11:15:00 |
Presentation Time |
25 minutes |
Registration for |
NC |
Paper # |
NC2016-81 |
Volume (vol) |
vol.116 |
Number (no) |
no.521 |
Page |
pp.103-107 |
#Pages |
5 |
Date of Issue |
2017-03-06 (NC) |
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